US10291744B2 - Method and apparatus for determining the radiation strength of a Wi-Fi signal - Google Patents
Method and apparatus for determining the radiation strength of a Wi-Fi signal Download PDFInfo
- Publication number
- US10291744B2 US10291744B2 US15/277,042 US201615277042A US10291744B2 US 10291744 B2 US10291744 B2 US 10291744B2 US 201615277042 A US201615277042 A US 201615277042A US 10291744 B2 US10291744 B2 US 10291744B2
- Authority
- US
- United States
- Prior art keywords
- signal
- radiation
- signal sources
- signal strength
- strength
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active, expires
Links
Images
Classifications
-
- H04L67/36—
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/75—Indicating network or usage conditions on the user display
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
Definitions
- Wi-Fi Wireless-Fidelity
- the memory stores therein one or more computer readable program codes
- the one or more processors are configured to execute the one or more computer readable program codes:
- Some embodiments of the disclosure provide a method for determining the radiation strength of a Wi-Fi signal, the method including:
- Some embodiments of the disclosure provide an apparatus for determining the radiation strength of a Wi-Fi signal, the apparatus including:
- the memory stores therein one or more computer readable program codes
- the one or more processors are configured to execute the one or more computer readable program codes to perform:
- FIG. 1 is a flow chart of a method for determining the radiation strength of a Wi-Fi signal according to some embodiments of the disclosure
- FIG. 2 is a schematic flow chart of detecting Wi-Fi health according to some embodiments of the disclosure.
- FIG. 3 is a schematic structural diagram of an apparatus for determining the radiation strength of a Wi-Fi signal according to some embodiments of the disclosure
- FIG. 4 is a schematic flow chart of a method for determining the radiation strength of a Wi-Fi signal according to some embodiments of the disclosure.
- FIG. 5 is a schematic structural diagram of a terminal according to some embodiments of the disclosure.
- FIG. 1 is a schematic flow chart of a method for determining the radiation strength of a Wi-Fi signal according to some embodiments of the disclosure, and as illustrated, the method can include the following operations:
- the operation 101 is to obtain Wi-Fi signal sources, and signal strength values of the signal sources when a Wi-Fi function is enabled.
- the operation 102 is to determine the radiation strengths of corresponding Wi-Fi signals according to the number of Wi-Fi signal sources, and the signal strength values of the respective signal sources.
- an Android terminal For the sake of better understanding, embodiments of the disclosure embodied in an Android terminal will be described below, but the disclosure can be embodied in any devices which can obtain Wi-Fi signal sources, and signal strength values of the signal sources when the Wi-Fi function is enabled.
- the Android terminal will be described merely for the purpose of teaching those skilled in the art particularly how to put the disclosure into practice, but this shall not suggest that the disclosure can only be applicable to the Android terminal; and a particular device to which the disclosure is applicable can be determined as needed in practice in an implementation thereof.
- the Wi-Fi signal sources, and the signal strength values of the signal sources are obtained by a driver debugging tool.
- the driver debugging tool can be configured to scan surrounding Wi-Fi signals for their Service Set Identifiers (SSIDs) and strength values.
- the driver debugging tool can invoke a Wi-Fi driver to scan Wi-Fi signals for their SSIDs and strength values.
- the driver debugging tool is an IW tool.
- the IW tool is described as an example because the IW tool is a driver debugging tool publicly available from Android, and applicable to all the Android systems, and the IW tool is readily and commonly available; and as can be apparent, the driver debugging tool can be embodied as any facility which can scan Wi-Fi signals for their Service Set Identifiers (SSIDs) and strength values, and the driver debugging tool is embodied as the IW tool merely for the purpose of teaching those skilled in the art particularly how to put the disclosure into practice, but this shall not suggest that the driver debugging tool can only be embodied as the IW tool; and a particular tool embodying the driver debugging tool can be determined as needed in practice in an implementation thereof.
- SSIDs Service Set Identifiers
- the Wi-Fi signal sources, and the signal strength values of the Wi-Fi signal sources are obtained by invoking the IW tool to make an IW wlan0 scan, where wlan0 is a station device generated by Wi-Fi.
- the Wi-Fi will generate a station device: wlan0.
- an IW service is started, and an IW wlan0 scan operation is performed, where the scan operation of the Wi-Fi driver is invoked automatically, and a series of information parameters of scanned hotspots are returned, including channel frequencies (freq), signal strengths (Received Signal Strength Indicators (RSSIs)), SSIDs, and other information of the hotspots.
- RSSIs Receiveived Signal Strength Indicators
- the radiation strengths of the Wi-Fi signal are above a preset threshold, then an alert will be issued, and/or the number of Wi-Fi signal sources, and the signal strength values of the signal sources will be announced.
- all the scanned signal strengths and SSIDs are stored in such a way that each SSID corresponds to one of the signal strengths, and then a surrounding Wi-Fi radiation condition is determined using the values of the information.
- Wi-Fi signals with different radiation strengths are categorized into four classes dependent upon the signal strengths, and the number of surrounding Wi-Fi signals: an excessively radiating Wi-Fi signal, a strongly radiating Wi-Fi signal, a normally radiating Wi-Fi signal, and a weakly radiating Wi-Fi signal. It is also assumed that a signal with a signal strength more than ⁇ 20 dBm or ⁇ 30 dBm is defined as a hazardous signal source, and a signal with a signal strength more than ⁇ 60 dBm and less than ⁇ 30 dBm is defined as a normal hazardous signal source. The following four instances can be defined:
- Wi-Fi signals are determined as an excessively radiating Wi-Fi signal, then an alert “Warning: there are hazardous signal sources surrounding” and the SSIDs of the hazardous signal sources will be presented on an interface.
- Wi-Fi signals are determined as a strongly radiating Wi-Fi signal, then an alert “Warning: there are too many normally hazardous signal sources surrounding” and the SSIDs of the normally hazardous signal sources will be presented on an interface.
- Wi-Fi signals are determined as a normally radiating Wi-Fi signal, then an alert “Attention: there are normally hazardous signal sources surrounding” and the SSIDs of the normally hazardous signal sources will be presented on an interface.
- Wi-Fi signals are determined as a weakly radiating Wi-Fi signal, then an alert “There is no hazardous signal source surrounding” will be presented on an interface.
- the categorization above of the Wi-Fi signals with different radiation strengths into 4 classes is merely one of possible categorization schemes, and a particular embodiment of the disclosure will not be limited thereto, but any possible categorization of the Wi-Fi signals dependent upon the signal strength values, and the number of surrounding Wi-Fi signals will be applicable. Moreover an embodiment of the disclosure will not be limited to the particular strength values of the Wi-Fi signals, and the particular numbers of surrounding Wi-Fi signals for categorizing the strongly and weakly radiating Wi-Fi signals as long as any scheme capable of reflecting strong and weak radiation of the Wi-Fi signals can be applicable. For example, alternatively 2 hazardous signal sources and 3 normally hazardous signal sources can be defined as an excessively radiating Wi-Fi signal.
- signal sources with signal strengths more than ⁇ 60 dBm, and signal sources with signal strengths more than ⁇ 30 dBm can be displayed as needed, for example, only the hazardous signal sources are displayed, or both the hazardous signal sources and the normally hazardous signal sources are displayed.
- the radiation strengths of the Wi-Fi signals can be obtained, that is, it can be determined whether the surrounding Wi-Fi signals exceed a standard health range, and a user can be provided with a corresponding suggestion according to a determination result.
- FIG. 2 is a schematic flow chart of detecting Wi-Fi health, and as illustrated, the flow can include the following operations:
- the operation 201 is to Open Wi-Fi health detection functional software.
- the operation 202 is to determine whether a Wi-Fi function has been enabled, and if so, then the flow will jump to the operation 208 ; otherwise, the flow will proceed to the operation 203 .
- the operation 203 is to ask a user to “Firstly enable your Wi-Fi” so that the user manually decides whether to enable the Wi-Fi function, and if so, then the flow will proceed to the operation 204 ; otherwise, the flow will jump to the operation 206 .
- the operation 204 is to jump to a Wi-Fi setting interface.
- the operation 205 is for the user to decide whether to enable the Wi-Fi function, and if so, then the flow will jump to the operation 208 ; otherwise, the flow will proceed to the operation 206 .
- the operation 206 is not to enable the Wi-Fi health detection function, and the flow proceeds to the operation 207 .
- the operation 208 is to start an IW service, and to make an IW wlan0 scan.
- the operation 209 is to store sequentially all the values of scanned SSIDs and signal strengths in such a way that all of these values are stored in pairs so that each SSID corresponds to one of the signal strengths.
- the operation 210 is to determine whether there are more than 3 Wi-Fi signal sources with signal strengths more than ⁇ 20 dBm or ⁇ 30 dBmm, and if so, then the flow will jump to the operation 213 ; otherwise, the flow will proceed to the operation 211 .
- the operation 211 is to determine whether there are more than 5 Wi-Fi signal sources with signal strengths more than ⁇ 60 dBm, and if so, then the flow will jump to the operation 215 ; otherwise, the flow will proceed to the operation 212 .
- the operation 212 is to determine whether there are 1 to 5 Wi-Fi signal sources with signal strengths more than ⁇ 60 dBm, and if so, then the flow will jump to the operation 217 ; otherwise, the flow will proceed to the operation 219 .
- the operation 213 is to present an alert “Warning: there are hazardous signal sources surrounding” on an interface, and the flow will proceed to the operation 214 .
- the operation 214 is to display the SSIDs and the signal strengths of the hazardous signal sources on the interface, and the flow jumps to the operation 220 .
- the operation 215 is to present an alert “Warning: there are too many normally hazardous signal sources surrounding” on an interface, and the flow proceeds to the operation 216 .
- the operation 216 is to display the SSIDs and the signal strengths of the normally hazardous signal sources on the interface, and the flow jumps to the operation 220 .
- the operation 217 is to present an alert “Attention: there are normally hazardous signal sources surrounding” on an interface, and the flow proceeds to the operation 218 .
- the operation 218 is to display the SSIDs and the signal strengths of the normally hazardous signal sources on the interface, and the flow jumps to the operation 220 .
- the operation 219 is to present an alert “There is no hazardous signal source surrounding” on an interface, and the flow proceeds to the operation 220 .
- the IW tool is started, and the IW wlan0 scan is made, so that an outline of all the scanned surrounding Wi-Fi hotspots is returned, for example:
- the signal strength value ( ⁇ 68.00 dBm) of the scanned Wi-Fi hotspot, and the name (11 n) of the hotspot can be obtained.
- the signal strength value of each scanned Wi-Fi hotspot, and the name of the hotspot can be obtained sequentially.
- some embodiments of the disclosure further provide an apparatus for determining the radiation strength of a Wi-Fi signal, and since the apparatus addresses the problem under a similar principle to the method for determining the radiation strength of a Wi-Fi signal, reference can be made to the implementation of the method for an implementation of the apparatus, and a repeated description thereof will be omitted here.
- FIG. 3 is a schematic structural diagram of an apparatus for determining the radiation strength of a Wi-Fi signal, and as illustrated, the apparatus can include:
- An obtaining module 301 is configured to obtain Wi-Fi signal sources, and signal strength values of the signal sources when a Wi-Fi function is enabled;
- a determining module 302 is configured to determine the radiation strengths of corresponding Wi-Fi signals according to the number of Wi-Fi signal sources, and the signal strength values of the respective signal sources.
- the obtaining module can be further configured to obtain the Wi-Fi signal sources, and the signal strength values of the signal sources using a driver debugging tool.
- the obtaining module can be further configured to use the driver debugging tool which is an IW tool.
- the obtaining module can be further configured to obtain the Wi-Fi signal sources, and the signal strength values of the signal sources by invoking the IW tool to make an IW wlan0 scan, where wlan0 is a station device generated by Wi-Fi.
- the apparatus can further include: a warning module 303 configured to warn if the radiation strengths of the Wi-Fi signals are above a preset threshold; and a notifying module 304 configured to notify the number of Wi-Fi signal sources and/or the signal strength values of the signal sources.
- the warning module and the notifying module are included in this embodiment, but only the warning module or only the notifying module may be included in another embodiment of the disclosure.
- Some embodiments of the disclosure further provides a method for determining the radiation strength of a Wi-Fi signal as illustrated in FIG. 4 , where the method can include the following operations:
- the operation 401 is to determine at least one signal source corresponding to a WiFi signal at the current position, and at least one signal strength value corresponding to the at least one signal source at the current position, when a WiFi function is enabled.
- the operation 402 is to determine a signal strength adjustment value according to the at least one signal strength value.
- the operation 403 is to determine that the signal strength adjustment value exceeds a preset threshold.
- the operation 404 is to generate and issue warning information.
- a terminal will determine the at least one signal source corresponding to the WiFi signal at the current position, where the signal strength adjustment value is one of the at least one signal strength value, and the preset threshold is a first preset threshold.
- the signal strength adjustment value can be determined according to the at least one signal strength value particularly in the following operations:
- the operation a is to determine that all the at least one signal strength value is below a second preset threshold.
- the operation b is to obtain the sum of N signal strength values among the at least one signal strength value, where N is an integer more than 1.
- the operation c is to determine the sum as the signal strength adjustment value.
- N signal strength values will be selected among the 5 signal strength values, and the sum of the N signal strength values will be determined as the signal strength adjustment value, where 1 ⁇ N ⁇ 5.
- the first preset threshold and the second preset threshold in some embodiments of the disclosure can be preset empirically and as needed in practice.
- the warning information generated and issued by the terminal can be audio information, image information, and/or text information, which can include the names, e.g., SSIDs, of the signal sources corresponding to the signal strength adjustment value, and/or the signal strength values corresponding to the signal strength adjustment value. If there are a number of signal strength values, all of which are below the second preset threshold, and the sum of N signal strength values among them is determined as the signal strength adjustment value, then the warning information can further include the names of N signal sources corresponding to the N signal strength values, and/or the N signal strength values.
- Some embodiments of the disclosure further provide a terminal as illustrated in FIG. 5 including:
- a memory 501 A memory 501 ;
- One or more processors 502 where:
- the memory stores therein one or more computer readable program codes, and the one or more processors are configured to execute the one or more computer readable program codes:
- the preset threshold is a first preset threshold
- the one or more processors configured to determine the signal strength adjustment value according to the at least one signal strength value are configured:
- the warning information includes audio information, image information, and/or text information.
- the terminal includes a display screen, and the one or more processors configured to issue the warning information are configured:
- the warning information includes the names of signal sources corresponding to the signal strength adjustment value, and/or the signal strength values corresponding to the signal strength adjustment value.
- the warning information includes the names of N signal sources corresponding to the N signal strength values, and/or the N signal strength values.
- the Wi-Fi signal sources and the signal strength values will be obtained, so that the radiation strengths of the Wi-Fi signals can be determined according to the number of Wi-Fi signal sources, and the signal strength values of the respective signal sources to thereby provide a reference for grading the radiation strengths, and a basic for notifying the user of the surrounding Wi-Fi radiation strength.
- the names and the signal strength values of the respective Wi-Fi signal sources can be further displayed or alerted to the user so that the user can take a corresponding countermeasure.
- the embodiments of the disclosure can be embodied as a method, a system or a computer program product. Therefore the disclosure can be embodied in the form of an all-hardware embodiment, an all-software embodiment or an embodiment of software and hardware in combination. Furthermore the disclosure can be embodied in the form of a computer program product embodied in one or more computer useable storage mediums (including but not limited to a disk memory, an optical memory, etc.) in which computer useable program codes are contained.
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
- Computer Security & Cryptography (AREA)
- Measurement Of Radiation (AREA)
Abstract
Description
-
- BSS 54:e6:fc:33:b2:06 (on wlan0)—associated
- TSF: 87382551097 usec (1d, 00:16:22)
- Freq: 2447
- beacon interval: 100
- capability: ESS ShortPreamble (0x0021)
- signal: −68.00 dBm
- last seen: 0 ms ago
- Information elements from Probe Response frame:
- SSID (Service Set Identifier): 11 n
- Supported rates: 1.0*2.0*5.5*11.0*
- DS Parameter set: channel 8
- WMM (Wireless multimedia):
- Parameter version1
- u-APSD
- BE (Best effort): CW 31-1023,
AIFSN 3 - BK (Background): CW 31-1023, AIFSN 7
- VI (video): CW 15-31, AIFSN 2, TXOP 6016 usec
- VO (voice): acm CW 7-15, AIFSN 2, TXOP 3264 usec
- WPS (Wi-Fi Protected Setup):
- Version: 1.0
- Wi-Fi Protected Setup State: 2 (Configured)
- Response Type: 3 (AP)
- UUID (Universally Unique Identifier):
- 00000000-0000-1000-0000-54e6fc33b206
- Manufacturer: TP-LINK
- Model: TL-WR941N
- Model Number: 4.0/5.0
- Serial Number: 1.0
- Primary Device Type: 6-0050f204-1
- Device name: Wireless Router TL-WR941N
- Config methods: Ethernet, Label, PBC (Push Button Control)
- RF Bands (Radio Frequency Bands): 0x1
Claims (20)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510882188.1A CN105407503A (en) | 2015-12-03 | 2015-12-03 | Method and device for determining radiation intensity of Wi-Fi signal |
CN201510882188.1 | 2015-12-03 | ||
CN201510882188 | 2015-12-03 |
Publications (2)
Publication Number | Publication Date |
---|---|
US20170163516A1 US20170163516A1 (en) | 2017-06-08 |
US10291744B2 true US10291744B2 (en) | 2019-05-14 |
Family
ID=55472694
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/277,042 Active 2036-12-09 US10291744B2 (en) | 2015-12-03 | 2016-09-27 | Method and apparatus for determining the radiation strength of a Wi-Fi signal |
Country Status (2)
Country | Link |
---|---|
US (1) | US10291744B2 (en) |
CN (1) | CN105407503A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11563503B2 (en) | 2020-09-15 | 2023-01-24 | Ford Global Technologies, Llc | Vehicle Wi-Fi access point detection and mitigation |
US11706596B2 (en) | 2021-06-17 | 2023-07-18 | Ford Global Technologies, Llc | Vehicle roadside unit interference detection |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110113112A (en) * | 2019-05-21 | 2019-08-09 | 四川虹美智能科技有限公司 | A kind of method and system detecting wifi product |
Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070076640A1 (en) * | 2005-09-30 | 2007-04-05 | Bonta Jeffery D | Method and system for indicating wireless interconnectivity |
CN101656969A (en) | 2008-08-21 | 2010-02-24 | ***通信集团公司 | Radiation warning method, device and system |
US20100097228A1 (en) | 2008-10-21 | 2010-04-22 | Schultz Paul T | System and method for monitoring and/or notifying wireless device users of radiation exposure |
CN101776715A (en) | 2008-11-07 | 2010-07-14 | 华为终端有限公司 | Device and method for prompting radiation of mobile terminal, and mobile terminal |
CN202143129U (en) | 2011-04-29 | 2012-02-08 | 张雪松 | Multifunctional mobile phone |
CN103516879A (en) | 2012-06-28 | 2014-01-15 | 华为终端有限公司 | Radiation warning method of mobile terminal and mobile terminal |
US20140304770A1 (en) * | 2010-12-30 | 2014-10-09 | Korea University Research And Business Foundation | Terminal |
US20150038084A1 (en) * | 2012-02-16 | 2015-02-05 | Pinchas Dahan | Reduced radiation mobile phone usage via a combined wired and a wireless communication system based on roaming hot backup |
US20150098353A1 (en) * | 2013-10-07 | 2015-04-09 | Samsung Electronics Co., Ltd. | Method and apparatus for controlling power in wireless communication system |
CN104569623A (en) | 2014-12-26 | 2015-04-29 | 深圳市金立通信设备有限公司 | Method for detecting radiation intensity |
CN104640073A (en) | 2015-02-09 | 2015-05-20 | 江南大学 | Reverse synchronous perception-based wifi (Wireless Fidelity) wireless positioning method and system |
US20160164564A1 (en) * | 2014-05-13 | 2016-06-09 | Yue Xiao | Radiation alleviation |
US20170264330A1 (en) * | 2014-07-31 | 2017-09-14 | Beijing Zhigu Rui Tuo Tech Co., Ltd | Wireless communications methods and devices |
US20170293035A1 (en) * | 2016-04-07 | 2017-10-12 | Surinder Badyal | Wearable Lifetime Personal High Sensitivity and Wide-Dynamic Range Measurement Apparatus and Method for Real-Time Radiation Exposure Measurement and Cancer Risk Management Due to Harmful Radiation in All Environments |
US20180078579A1 (en) * | 2008-09-25 | 2018-03-22 | Gerald M. Haase | Micronutrient formulations for environmental exposure applications |
-
2015
- 2015-12-03 CN CN201510882188.1A patent/CN105407503A/en active Pending
-
2016
- 2016-09-27 US US15/277,042 patent/US10291744B2/en active Active
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070076640A1 (en) * | 2005-09-30 | 2007-04-05 | Bonta Jeffery D | Method and system for indicating wireless interconnectivity |
CN101656969A (en) | 2008-08-21 | 2010-02-24 | ***通信集团公司 | Radiation warning method, device and system |
US20180078579A1 (en) * | 2008-09-25 | 2018-03-22 | Gerald M. Haase | Micronutrient formulations for environmental exposure applications |
US20100097228A1 (en) | 2008-10-21 | 2010-04-22 | Schultz Paul T | System and method for monitoring and/or notifying wireless device users of radiation exposure |
CN101776715A (en) | 2008-11-07 | 2010-07-14 | 华为终端有限公司 | Device and method for prompting radiation of mobile terminal, and mobile terminal |
US20140304770A1 (en) * | 2010-12-30 | 2014-10-09 | Korea University Research And Business Foundation | Terminal |
CN202143129U (en) | 2011-04-29 | 2012-02-08 | 张雪松 | Multifunctional mobile phone |
US20150038084A1 (en) * | 2012-02-16 | 2015-02-05 | Pinchas Dahan | Reduced radiation mobile phone usage via a combined wired and a wireless communication system based on roaming hot backup |
CN103516879A (en) | 2012-06-28 | 2014-01-15 | 华为终端有限公司 | Radiation warning method of mobile terminal and mobile terminal |
US20150098353A1 (en) * | 2013-10-07 | 2015-04-09 | Samsung Electronics Co., Ltd. | Method and apparatus for controlling power in wireless communication system |
US20160164564A1 (en) * | 2014-05-13 | 2016-06-09 | Yue Xiao | Radiation alleviation |
US20170264330A1 (en) * | 2014-07-31 | 2017-09-14 | Beijing Zhigu Rui Tuo Tech Co., Ltd | Wireless communications methods and devices |
CN104569623A (en) | 2014-12-26 | 2015-04-29 | 深圳市金立通信设备有限公司 | Method for detecting radiation intensity |
CN104640073A (en) | 2015-02-09 | 2015-05-20 | 江南大学 | Reverse synchronous perception-based wifi (Wireless Fidelity) wireless positioning method and system |
US20170293035A1 (en) * | 2016-04-07 | 2017-10-12 | Surinder Badyal | Wearable Lifetime Personal High Sensitivity and Wide-Dynamic Range Measurement Apparatus and Method for Real-Time Radiation Exposure Measurement and Cancer Risk Management Due to Harmful Radiation in All Environments |
Non-Patent Citations (4)
Title |
---|
IW package information webpage, retrieved Feb. 3, 2018. * |
Office Action from corresponding Chinese Application No. 201510882188.1 dated Mar. 23, 2018 (6 pages). |
PDF copy of an Ask Ubuntu page to verify a question related to IW in 2011. (Year: 2018). * |
Ubuntu Publishing History of iw package. (Year: 2018). * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11563503B2 (en) | 2020-09-15 | 2023-01-24 | Ford Global Technologies, Llc | Vehicle Wi-Fi access point detection and mitigation |
US11706596B2 (en) | 2021-06-17 | 2023-07-18 | Ford Global Technologies, Llc | Vehicle roadside unit interference detection |
Also Published As
Publication number | Publication date |
---|---|
CN105407503A (en) | 2016-03-16 |
US20170163516A1 (en) | 2017-06-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10700795B2 (en) | Measurement method, terminal, device, and access network device | |
EP3661255B1 (en) | Signal strength measurement method, related apparatus, and system | |
EP3217589B1 (en) | Carrier selection method and apparatus, access point and storage medium | |
AU2018403647A1 (en) | Method for configuring neighbouring cell, network device and user equipment | |
EP3664499B1 (en) | Beam measurement reporting method and device, terminal and storage medium | |
US10291744B2 (en) | Method and apparatus for determining the radiation strength of a Wi-Fi signal | |
CN110856209B (en) | Method, apparatus and storage medium for displaying network sign | |
KR20140028685A (en) | Apparatus and method of displaying condition of wireless network | |
US10375724B2 (en) | Method for detecting device-to-device signal, user equipment, and base station | |
JP5609902B2 (en) | Wireless communication apparatus, method for performing wireless communication, and computer program for causing wireless communication apparatus to execute wireless communication | |
US20190021007A1 (en) | Station-aided spatial reuse group detection | |
EP3145237A1 (en) | Processing method for dynamic channel detection, station, and access point device | |
US20210399830A1 (en) | Communication apparatus and control method therefor | |
US9838884B2 (en) | Radio wave status indicating apparatus, communication apparatus and computer-readable medium | |
CN106717087A (en) | Control channel collision resolution | |
RU2488971C2 (en) | Communication device, communication device control method and program | |
US9973948B2 (en) | Mobile terminal testing apparatus and cell use method for use in the same | |
US10609639B2 (en) | Signal transmission method and network device | |
CN112654052A (en) | PCI conflict detection and adjustment method and device | |
US20150189687A1 (en) | Communication apparatus and method for controlling communication apparatus | |
CA2783127C (en) | Automatic disabling of enabled connection profile for wireless network | |
US11012178B2 (en) | Downlink information transmission method, base station, and user equipment | |
US20210400691A1 (en) | Communication apparatus and control method therefor | |
CN112840721B (en) | Transmission and reception of access information | |
CN116887385A (en) | Wireless device access optimization method, device and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: HISENSE MOBILE COMMUNICATIONS TECHNOLOGY CO., LTD. Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:SUN, ZIZHI;REEL/FRAME:039867/0001 Effective date: 20160718 |
|
AS | Assignment |
Owner name: HISENSE INTERNATIONAL CO., LTD., CHINA Free format text: ASSIGNMENT OF AN UNDIVIDED INTEREST;ASSIGNOR:HISENSE MOBILE COMMUNICATIONS TECHNOLOGY CO., LTD.;REEL/FRAME:040662/0259 Effective date: 20161010 Owner name: HISENSE USA CORPORATION, GEORGIA Free format text: ASSIGNMENT OF AN UNDIVIDED INTEREST;ASSIGNOR:HISENSE MOBILE COMMUNICATIONS TECHNOLOGY CO., LTD.;REEL/FRAME:040662/0259 Effective date: 20161010 |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: PUBLICATIONS -- ISSUE FEE PAYMENT VERIFIED |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 4 |